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CVPR
2008
IEEE
14 years 11 months ago
Two-Dimensional Active Learning for image classification
In this paper, we propose a two-dimensional active learning scheme and show its application in image classification. Traditional active learning methods select samples only along ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...
NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 8 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
PERCOM
2005
ACM
14 years 8 months ago
Securing Wireless Networks in a University Environment
Many applications in eLearning utilize wireless networks (WLAN) as a carrier for data and communication. These networks in their basic form are insecure, protecting the communicat...
Jochen Eisinger, Peter Winterer, Bernd Becker
RTCSA
2007
IEEE
14 years 3 months ago
Activity Recognition Based on Semi-supervised Learning
Activity recognition is a hot topic in context-aware computing. In activity recognition, machine learning techniques have been widely applied to learn the activity models from lab...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
SDM
2009
SIAM
117views Data Mining» more  SDM 2009»
14 years 6 months ago
Spatially Cost-Sensitive Active Learning.
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
Alexander Liu, Goo Jun, Joydeep Ghosh